Real-Time Anomaly Detection in Packaged Food X-Ray Images Using Supervised Learning
نویسندگان
چکیده
منابع مشابه
Real-time contrast medium detection in x-ray images by mathematical morphology operators
This article proposes a solution to contrast agent detection in angiograms by considering X-ray images as intensity images and applying mathematical morphology operators. We present two detection approaches, one based on the intensity infimum and the other based on the dual reconstruction. The evaluation using several data sets shows that both techniques are able to detect the presence of the c...
متن کاملLearning to Classify X-Ray Images Using Relational Learning
Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learning methods can be used to automatically build rules for classifying types of blood vessels. We introduce a new learning system that can make use of background knowledge coded as arbitrarily complex Prolog programs to co...
متن کاملSemi-supervised Learning on Real-time Pedestrian Detection System
This research proposed a pedestrian detection system in an outdoor scene by a pin-hole camera with field-programmable gate array. We used two different feature descriptors included histograms of oriented gradients and local weighted pattern which were descripted the shape and textural information for the image feature of pedestrians. Semi-supervised learning with linear support vector machine w...
متن کاملToward Supervised Anomaly Detection
Anomaly detection is being regarded as an unsupervised learning task as anomalies stem from adversarial or unlikely events with unknown distributions. However, the predictive performance of purely unsupervised anomaly detection often fails to match the required detection rates in many tasks and there exists a need for labeled data to guide the model generation. Our first contribution shows that...
متن کاملLearning Algorithms for Anomaly Detection from Images
Visual surveillance networks are installed in many sensitive places in the present world. Human security officers are required to continuously stare at large numbers of monitors simultaneously, and for lengths of time at a stretch. Constant alert vigilance for hours on end is difficult to maintain for human beings. It is thus important to remove the onus of detecting unwanted activity from the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers, Materials & Continua
سال: 2021
ISSN: 1546-2226
DOI: 10.32604/cmc.2021.014642